{"id":3919,"date":"2023-06-16T00:29:47","date_gmt":"2023-06-15T14:29:47","guid":{"rendered":"https:\/\/wordpress.temp.irap-dev.org\/airap-automation-for-australian-road-safety-final-results\/"},"modified":"2026-04-30T12:40:20","modified_gmt":"2026-04-30T02:40:20","slug":"airap-automation-for-australian-road-safety-final-results","status":"publish","type":"post","link":"https:\/\/irap.org\/es\/airap-automation-for-australian-road-safety-final-results\/","title":{"rendered":"Automatizaci\u00f3n AiRAP para la seguridad vial australiana: Resultados finales"},"content":{"rendered":"<p><em>Cr\u00e9ditos del art\u00edculo y la imagen: <a href=\"https:\/\/imoveaustralia.com\/project\/project-outcomes\/airap-automation-australian-road-safety\/\">iMOVE<\/a><\/em><\/p>\n<p>El proyecto australiano iMOVE, ahora finalizado. <a href=\"https:\/\/imoveaustralia.com\/project\/accelerated-and-intelligent-rap-data-collection\/\">Recopilaci\u00f3n de datos RAP acelerada e inteligente<\/a> Fue un trabajo pionero a nivel mundial en el \u00e1mbito de la recopilaci\u00f3n de datos sobre las caracter\u00edsticas de las carreteras para la elaboraci\u00f3n de clasificaciones de seguridad vial por estrellas, y se ha publicado un informe final sobre el proyecto, que incluye sus logros, conclusiones y recomendaciones.<\/p>\n<p><strong>Acerca del proyecto<\/strong><br \/>El proyecto fue liderado por Transport for NSW (<a href=\"http:\/\/www.transport.nsw.gov.au\/\">TfNSW<\/a>), con investigaci\u00f3n y asistencia de la <a href=\"https:\/\/www.uts.edu.au\/\">Universidad Tecnol\u00f3gica de S\u00eddney<\/a>, iRAP y expertos australianos en datos geoespaciales, <a href=\"https:\/\/www.anditi.com\/\">Anditi<\/a>.<\/p>\n<p>El trabajo realizado por el proyecto es el primero de su tipo a nivel mundial, y sus actividades y resultados son de inter\u00e9s para las partes interesadas en toda Australia y en el resto del mundo.<\/p>\n<p><strong>Las much\u00edsimas razones para aumentar la seguridad<\/strong><br \/>La iniciativa para mejorar la seguridad vial en Australia se debe a unas estad\u00edsticas escalofriantes. Entre 2016 y 2020, 5935 personas perdieron la vida en las carreteras australianas. Solo este hecho exige atenci\u00f3n y medidas concretas. Pero tambi\u00e9n hay que tener en cuenta otras cifras menos conocidas. Cada a\u00f1o, m\u00e1s de 40 000 personas sufren lesiones permanentes e incapacitantes.<\/p>\n<p>Cualquier medida que se pueda tomar para abordar estas estad\u00edsticas requiere evaluaci\u00f3n.<\/p>\n<p><strong>AusRAP, iRAP y AiRAP<\/strong><br \/>As\u00ed como el Programa Australasi\u00e1tico de Evaluaci\u00f3n de Autom\u00f3viles Nuevos (ANCAP) eval\u00faa la seguridad de los autom\u00f3viles en nuestras carreteras, el Programa Australiano de Evaluaci\u00f3n de Carreteras (AUSRAP) eval\u00faa la seguridad de las carreteras por las que circular\u00e1n esos autom\u00f3viles.<\/p>\n<p>Transport for NSW ya ten\u00eda acceso a los datos de AusRAP para 18\u00a0000 kil\u00f3metros de las carreteras que gestiona. Este proyecto buscaba utilizar nuevos m\u00e9todos para obtener informaci\u00f3n actualizada sobre el estado de dichas carreteras con mayor rapidez. Estos nuevos m\u00e9todos utilizar\u00edan iRAP y sus herramientas. Los datos acreditados por iRAP complementan este marco existente, con la adici\u00f3n de una captura acelerada e inteligente de datos relacionados con la seguridad vial mediante m\u00e9todos autom\u00e1ticos, repetibles y escalables.\u201c<\/p>\n<p>Para este proyecto se utilizaron los datos MN-R de TomTom, junto con t\u00e9cnicas de extracci\u00f3n y aprendizaje autom\u00e1tico que emplean datos LiDAR e im\u00e1genes de 360 grados, capturando 20.000 kil\u00f3metros de datos de atributos de carreteras para la red vial estatal de Nueva Gales del Sur.<\/p>\n<p>El uso de estos datos dar\u00e1 lugar a:<\/p>\n<ul>\n<li>Reducci\u00f3n del tiempo y el esfuerzo necesarios para realizar evaluaciones de seguridad vial.<\/li>\n<li>Reducci\u00f3n de costes y mejora de la precisi\u00f3n y frecuencia de la recopilaci\u00f3n de datos para el seguimiento del rendimiento y la monitorizaci\u00f3n de los KPI.<\/li>\n<li>mejoras en la seguridad vial y el salvamento de vidas<\/li>\n<\/ul>\n<p>Este proyecto se llev\u00f3 a cabo en el marco del Segundo Decenio de Acci\u00f3n de las Naciones Unidas para la Seguridad Vial, la Estrategia Nacional de Seguridad Vial de Australia y el Plan de Seguridad Vial de Nueva Gales del Sur, los cuales consideran las clasificaciones de riesgo vial como un componente fundamental para la gesti\u00f3n y la presentaci\u00f3n de informes sobre seguridad vial.<\/p>\n<p>El objetivo m\u00e1s amplio del proyecto era hacerlo dentro de un marco escalable y repetible para beneficio de otras jurisdicciones australianas a nivel nacional, estatal y local, as\u00ed como a nivel internacional. Esto se lograr\u00eda a trav\u00e9s de un nuevo <a href=\"https:\/\/irap.org\/es\/project\/ai-rap\/\">\u2018Iniciativa &#039;AiRAP&#039;<\/a> liderado por iRAP.<\/p>\n<p>El marco AiRAP desarrollado en el marco de este proyecto proporcionar\u00eda el mecanismo para que las fuentes de datos existentes y emergentes alimenten las evaluaciones de seguridad vial a nivel de red en toda Australia y en el resto del mundo.<\/p>\n<p><strong>Resultados del proyecto<\/strong><br \/>Los m\u00e9todos empleados en este proyecto lograron lo siguiente:<\/p>\n<ul>\n<li>Se entregaron 20.000 km de datos de atributos (7 atributos) utilizando m\u00e9todos automatizados de extracci\u00f3n de datos a partir de fuentes de datos existentes.<\/li>\n<li>Se ha demostrado la viabilidad de extraer 52 atributos de calificaci\u00f3n por estrellas utilizando datos &quot;prefabricados&quot;, de los cuales 34 cuentan con la acreditaci\u00f3n AiRAP para su uso posterior.<\/li>\n<li>Se estableci\u00f3 un marco de acreditaci\u00f3n para hacer lo mismo con otras fuentes de datos y proveedores.<\/li>\n<li>Carreteras cartografiadas con un volumen de tr\u00e1fico vehicular de 75% para el estado de Nueva Gales del Sur.<\/li>\n<li>Se estableci\u00f3 un m\u00e9todo de calificaci\u00f3n por estrellas &quot;ligero&quot; para el escaneo de redes de carreteras de gobiernos locales y<\/li>\n<li>Se identificaron los posibles proveedores de datos y se estimaron los ahorros de costos y las mejoras en la eficiencia que se obtendr\u00edan al utilizar nuevas fuentes de datos y m\u00e9todos de extracci\u00f3n.<\/li>\n<\/ul>\n<p><strong>Fase 2<\/strong><br \/>Partiendo de estos logros, se propone una segunda fase del proyecto que:<\/p>\n<ul>\n<li>Desarrollar a\u00fan m\u00e1s la capacidad para los datos de atributos, especialmente los atributos de velocidad y flujo.<\/li>\n<li>Clasificaci\u00f3n por estrellas de las luces piloto para las redes de carreteras de los gobiernos locales<\/li>\n<li>Continuar perfeccionando las definiciones de atributos y categor\u00edas y las t\u00e9cnicas de extracci\u00f3n preparadas para AiRAP.<\/li>\n<li>Utilice un m\u00e9todo basado en datos para modelar los flujos de usuarios vulnerables de la v\u00eda.<\/li>\n<li>Desarrollar a\u00fan m\u00e1s el mercado de datos.<\/li>\n<\/ul>\n<p>Obtenga m\u00e1s informaci\u00f3n sobre la metodolog\u00eda del proyecto, los hallazgos y los pr\u00f3ximos pasos en el informe final.,\u00a0<a href=\"https:\/\/imoveaustralia.com\/wp-content\/uploads\/2023\/05\/AiRAP-Automation-for-Australian-Road-Safety-Final-report.pdf\"><em>Automatizaci\u00f3n AiRAP para la seguridad vial australiana<\/em><\/a>.<\/p>\n<p><a class=\"et-button\" href=\"https:\/\/imoveaustralia.com\/wp-content\/uploads\/2023\/05\/AiRAP-Automation-for-Australian-Road-Safety-Final-report.pdf\">Descargue el informe final.<\/a><\/p>\n<p><a href=\"https:\/\/youtu.be\/mzNbuweChsA\">Mira el video<\/a><\/p>\n<p>Para obtener m\u00e1s informaci\u00f3n sobre AiRAP y los avances globales en I+D para impulsar la captura acelerada e inteligente de datos relacionados con la seguridad vial, visite <a href=\"https:\/\/irap.org\/es\/project\/ai-rap\/\">https:\/\/irap.org\/project\/ai-rap\/<\/a><\/p>\n<p>&nbsp;<\/p>","protected":false},"excerpt":{"rendered":"<p>Article and image credit: iMOVE The now completed Australian iMOVE project Accelerated and intelligent RAP data collection was a world-leading piece of work in the area of capturing road feature data for road safety star ratings, and a final report on the project, including its achievements, conclusions, and recommendations has been released. About the projectThe [&hellip;]<\/p>\n","protected":false},"author":10,"featured_media":3920,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[28,698,266],"tags":[147,699,82,284,390,762],"class_list":["post-3919","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-global-news","category-asia-pacific-region","category-airap","tag-airap","tag-asia-pacific","tag-ausrap","tag-australia","tag-imove","tag-new-south-wales"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.8 (Yoast SEO v28.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>AiRAP automation for Australian road safety: Final results - iRAP<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/irap.org\/es\/airap-automation-for-australian-road-safety-final-results\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AiRAP automation for Australian road safety: Final results\" \/>\n<meta property=\"og:description\" content=\"Article and image credit: iMOVE The now completed Australian iMOVE project Accelerated and intelligent RAP data collection was a world-leading piece of work in the area of capturing road feature data for road safety star ratings, and a final report on the project, including its achievements, conclusions, and recommendations has been released. 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